Marcum Q-function

In statistics, the Marcum-Q-function is defined as

is also defined as

with modified Bessel function of order M  1. The Marcum Q-function is used for example as a cumulative distribution function (more precisely, as a survivor function) for noncentral chi, noncentral chi-squared and Rice distributions.

For non-integer values of M, the Marcum Q function can be defined as[1]

The Marcum Q-function is monotonic and log-concave.[2]

References

  1. A. Annamalai, C. Tellambura and John Matyjas (2009) A New Twist on the Generalized Marcum Q-Function Q_M(a, b) with Fractional-Order M and Its Applications., 2009 6th IEEE Consumer Communications and Networking Conference, 1-5, ISBN 978-1-4244-2308-8
  2. Yin Sun, Árpád Baricz, and Shidong Zhou (2010) On the Monotonicity, Log-Concavity, and Tight Bounds of the Generalized Marcum and Nuttall Q-Functions. IEEE Transactions on Information Theory, 56(3), 1166-1186, ISSN 0018-9448


This article is issued from Wikipedia - version of the 11/21/2016. The text is available under the Creative Commons Attribution/Share Alike but additional terms may apply for the media files.